The Mobile Games Dataset is a meticulously curated collection of 100+ top-rated mobile games spanning various genres. This dataset provides a valuable resource for game developers, researchers, and enthusiasts interested in exploring trends and patterns within the mobile gaming industry. Each entry includes the game name, developer, genre, and rating, offering a comprehensive overview of some of the most popular and critically acclaimed mobile games available today.

Column Descriptions:

• Game Name: The title of the mobile game.

  • Type: String
  • Example: "Candy Crush Saga"

• Developer: The name of the company or individual who developed the game.

  • Type: String
  • Example: "King"

• Genre: The category or type of game, indicating the primary gameplay mechanics.

  • Type: String
  • Example: "Puzzle"

• Rating: The average user rating of the game, typically on a scale from 1 to 5.

  • Type: Float
  • Example: 4.6

Context

This dataset contains all the stats of all android games of Gameloft.

About Gameloft

Gameloft SE is a French video game publisher based in Paris, founded in December 1999 by Ubisoft co-founder Michel Guillemot. The company operates 18 development studios worldwide, and publishes games with a special focus on the mobile games market.

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Founder: Michael Guillemot Founded: December 14, 1999 Headquarters: Paris, France CEO: Stéphane Roussel (Jun 29, 2016–) Subsidiaries: Gameloft Argentina S.A., Ludigames Sas, MORE Parent organization: Vivendi

Content

• This dataset contains all info about all 40 games developed by Gameloft SE, till May 2022.

Featured Notebook

• None

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Download

• kaggle API Command !kaggle datasets download -d azminetoushikwasi/gameloft-android-games-collection-2022

Disclaimer

• The data collected are all publicly available and it's intended for educational purposes only.

Acknowledgement

• Cover image taken from internet.

Appreciate, Support, Share

This dataset provides detailed, session-level metrics for mobile games, including user identifiers, session timing, device and OS information, in-app purchases, and gameplay events. It is ideal for retention modeling, player segmentation, and optimizing game design for studios and publishers seeking actionable insights on user engagement and monetization.

Overview

The mobile games industry is worth billions of dollars, with companies spending vast amounts of money on the development and marketing of these games to an equally large market. Using this data set, insights can be gained into a sub-market of this market, strategy games. This sub-market includes titles such as Clash of Clans, Plants vs Zombies and Pokemon GO.

Background

This is the data of 17007 strategy games on the Apple App Store. It was collected on the 3rd of August 2019, using the iTunes API and the App Store sitemap.

Some ideas

You could use the number of ratings as a proxy indicator for the overall success of a game, and then work out what factors make a successful game. Or you could measure the state of the market over time and try predict where it is headed. And I think an analysis of the icons of the apps would be pretty cool.

In July 2025, total video games sales in the United States amounted to **** billion U.S. dollars, representing a five percent year-over-year increase. Generally speaking, the video game industry has its most important months in November and December, as video game software and hardware make very popular Christmas gifts. In December 2024, total U.S. video game sales surpassed **** billion U.S. dollars. Birth of the video game industry Although the largest regional market in terms of sales, as well as number of gamers, is Asia Pacific, the United States is also an important player within the global video games industry. In fact, many consider the United States as the birthplace of gaming as we know it today, fueled by the arcade game fever in the ’60s and the introduction of the first personal computers and home gaming consoles in the ‘70s. Furthermore, the children of those eras are the game developers and game players of today, the ones who have driven the movement for better software solutions, better graphics, better sound and more advanced interaction not only for video games, but also for computers and communication technologies of today. An ever-changing market However, the video game industry in the United States is not only growing, it is also changing in many ways. Due to increased internet accessibility and development of technologies, more and more players are switching from single-player console or PC video games towards multiplayer games, as well as social networking games and last, but not least, mobile games, which are gaining tremendous popularity around the world. This can be evidenced in the fact that mobile games accounted for ** percent of the revenue of the games market worldwide, ahead of both console games and downloaded or boxed PC games.

iOS Games

Games released for iOS

About this dataset

Looking for something new to play on your iOS device? Check out this dataset of popular games and applications that are available or in development! This dataset includes ratings and other information about each game, so you can find the perfect one to fit your mood

Research Ideas

• Game developers can use this dataset to compare the popularity of their games with other games on the iOS platform and adjust their development strategies accordingly
• Researchers studying the iOS gaming market can use this dataset to identify trends in game genres and popularity over time
• Gamers looking for popular games to play on their iOS device can use this dataset to find new games to try out

Acknowledgements

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_11.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_1.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_4.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_9.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_10.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_3.csv

File: df_2.csv | Column name | Description | |:------------------------------------|:------------------------------------------------------------------------| | Title | The name of the game or app. (String) | | Developer(s) | The developer or developers of the game or app. (String) | | Publisher(s) | The publisher or publishers of the game or app. (String) | | Genre | The genre or genres of the game or app. (String) | | Release date | The release date of the game or app. (Date) | | Lite version | A lite version of the game or app. (Boolean) | | Date No Longer Claimable on ios | The date on which the game or app is no longer claimable on iOS. (Date) | | Ref. | A reference to the source of the data. (String) |

File: df_12.csv

File: df_6.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_7.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_8.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_5.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

As of 2025, puzzle games had the overall shortest time between installation and first purchase across mobile operating systems. On Android, the time to first purchase was 1.6 days after installation, compared to 1.7 days on iOS. The largest discrepancy occurred with match games, with only 1.7 days between installation and first purchase on iOS compared to three days on Android.

This dataset contains a list of the best-selling video games, collected from the Portuguese Wikipedia page. The dataset includes information such as the game name, the platform it was released on, and the year of release. The list contains games from various platforms, from video game consoles to mobile games. This dataset can be useful for analyzing the video game market, identifying consumption patterns and trends, as well as serving as a basis for developing new game projects.

The Rea Games dataset provides valuable insights into the gaming industry, offering detailed data on game sales, player demographics, and user engagement. This dataset is designed for exploratory data analysis (EDA) to uncover patterns and trends within the gaming sector, helping analysts, game developers, and industry researchers better understand player behavior, revenue drivers, and popular game genres.

Dataset Overview:

Game Sales: Detailed information on sales figures for various games, allowing for revenue analysis and trend identification. Player Demographics: Data on player age, gender, and region, enabling segmentation and targeted analysis. User Engagement Metrics: Information on player engagement levels, such as playtime, frequency, and in-game purchases, providing insights into player retention and monetization strategies. Game Categories: Classification of games by genre, platform, and popularity to identify trends across different segments of the gaming market. Columns:

game_id: Unique identifier for each game in the dataset. game_title: Name of the game. genre: Game genre/category (e.g., action, adventure, simulation). platform: Platform on which the game is available (e.g., PC, console, mobile). release_date: Release date of the game. sales: Sales figures for each game, either in units or revenue. player_age: Age of the player engaging with the game. player_gender: Gender of the player (e.g., Male, Female). region: Geographic region where the game is popular or sold. playtime: Average playtime or engagement hours per player. in_game_purchases: Amount or count of in-game purchases made by players. Possible Use Cases:

Sales Trend Analysis: Track sales trends over time to identify popular games and profitable genres. Player Demographic Analysis: Segment players by age, gender, and location for targeted marketing. User Engagement Analysis: Explore player engagement metrics to improve retention and in-game purchases. Genre Popularity: Analyze which game genres are most popular across different platforms and demographics. This dataset is a valuable resource for data scientists, marketers, and game developers who want to make data-driven decisions in the gaming industry. By examining sales, demographics, and engagement metrics, users can gain insights to optimize game development, marketing strategies, and monetization efforts.

Apple App Store Key StatisticsApps & Games in the Apple App StoreApps in the Apple App StoreGames in the Apple App StoreMost Popular Apple App Store CategoriesPaid vs Free Apps in Apple App...

Dataset

This dataset was created by Madworld Games

Contents

Research-and-Development Time Series for Electronic Arts Inc. Electronic Arts Inc. develops, markets, publishes, and delivers games, content, and services for game consoles, PCs, and mobile phones worldwide. It develops and publishes games and services across various genres, such as sports, racing, first-person shooter, action, role-playing, and simulation; and live services offerings, including extra content and subscription offerings through its global football and American football franchises, such as EA SPORTS College Football and EA SPORTS Madden NFL, as well as based on its IP comprising The Sims, Apex Legends, and Battlefield. The company markets and sells its games and services through digital distribution and retail channels; and directly to mass market retailers, specialty stores, and distribution arrangements. Electronic Arts Inc. was incorporated in 1982 and is headquartered in Redwood City, California.

A global consumer survey conducted in March 2024 found that 18 percent of respondents were more likely to buy a video game if it was advertised as a collector or limited edition. However, 45 percent of respondents stated that they were not interested in limited edition releases.

Other-Long-Term-Liabilities Time Series for Electronic Arts Inc. Electronic Arts Inc. develops, markets, publishes, and delivers games, content, and services for game consoles, PCs, and mobile phones worldwide. It develops and publishes games and services across various genres, such as sports, racing, first-person shooter, action, role-playing, and simulation; and live services offerings, including extra content and subscription offerings through its global football and American football franchises, such as EA SPORTS College Football and EA SPORTS Madden NFL, as well as based on its IP comprising The Sims, Apex Legends, and Battlefield. The company markets and sells its games and services through digital distribution and retail channels; and directly to mass market retailers, specialty stores, and distribution arrangements. Electronic Arts Inc. was incorporated in 1982 and is headquartered in Redwood City, California.

📊 Play Market 2025 - 1M Reviews, 550+ Titles

This dataset provides cleaned and structured data from the Google Play Market, featuring over 1 million user reviews, detailed metadata for 335 games and 217 applications, and processed fields for advanced analysis.

🧾 Dataset Contents

apps_info.csv

Metadata for mobile applications, including: - app_id: Unique identifier - app_name: Name of the app - description: Cleaned full description - score: Average user rating (0–5) - ratings_count: The number of people who rated the app(int) - downloads: Download count (int) - content_rating: Audience rating (e.g., Everyone, Teen) - section: App section/category - categories: Comma-separated genre tags

apps_reviews.csv

User review data for apps: - app_id: Links to apps_info.csv - review_text: Cleaned review text - review_score: Star rating (1–5) - review_date: Standardized timestamp - helpful_count: Upvote count for review

games_info.csv

Metadata for mobile games, including: - game_id: Unique identifier - game_name: Name of the game - description: Cleaned full description - score: Average user rating (0–5) - ratings_count: The number of people who rated the game (int) - downloads: Download count (int) - content_rating: Audience rating - section: Game section/category - categories: Comma-separated genre tags

games_reviews.csv

User review data for games: - game_id: Links to games_info.csv - review_text: Cleaned review text - review_score: Star rating (1–5) - review_date: Standardized timestamp - helpful_count: Upvote count for review

📦 Dataset Summary

• 🧠 Cleaned and ready-to-use for NLP, sentiment analysis, or recommendation systems
• 🧩 Multi-source: Games and Apps handled separately
• 📅 Temporal component: All reviews include review dates

🔢 Statistics

• 📦 Applications: 217
• 📦 Games: 335
• ✍️ Total Reviews: 1,000,000+

Data was collected from publicly accessible Google Play user reviews for educational and research purposes. All personal information was removed. Not intended for commercial use

Techsalerator’s Business Funding Data for Finland

Techsalerator’s Business Funding Data for Finland provides a comprehensive and insightful overview of crucial information for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Finland, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Finland

Techsalerator’s Business Funding Data for Finland presents a detailed and insightful overview of essential information for businesses, investors, and financial analysts. This dataset delivers an in-depth examination of funding activities across various sectors in Finland, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

1. Company Name: Identifies the company receiving funding. This information helps investors spot potential opportunities and allows analysts to track funding trends within specific industries.

2. Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts provides insights into the financial health and growth potential of businesses and the scale of investment activities.

3. Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

4. Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

5. Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Finland

1. Technology and Innovation: Finland's technology sector is seeing significant investments, particularly in areas such as artificial intelligence, cybersecurity, and fintech. These investments drive innovation and enhance Finland’s position as a tech hub.

2. Clean Energy and Sustainability: Investments are flowing into clean energy projects, including wind, solar, and bioenergy. These initiatives support Finland's commitment to sustainability and reducing its carbon footprint.

3. Healthcare and Biotech: Increased funding is directed towards healthcare infrastructure, biotechnology research, and health tech innovations, aiming to improve medical services and drive advancements in healthcare.

4. Education and Edtech: Funding is being allocated to educational initiatives and edtech startups focused on enhancing learning experiences, digital education tools, and expanding access to quality education.

5. Smart Cities and Infrastructure: Investments in smart city projects and infrastructure development are growing, with a focus on urban planning, digital infrastructure, and improving city living standards.

Top 5 Companies with Notable Funding Data in Finland

1. Supercell: Known for its successful mobile games, Supercell has attracted substantial funding to expand its game development and international market presence.

2. Rovio Entertainment: The company behind the Angry Birds franchise has received notable investment to develop new games and expand its digital entertainment offerings.

3. Wärtsilä: A global leader in smart technologies and complete lifecycle solutions for the marine and energy markets, Wärtsilä has secured funding for innovations in energy efficiency and marine technology.

4. KONE: Specializing in elevators and escalators, KONE has garnered significant investment to enhance its technology and expand its global reach.

5. Valmet: A provider of technologies and services for the pulp, paper, and energy industries, Valmet has received funding to drive advancements in industrial processes and sustainability initiatives.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Finland, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Company Name
• Funding Amount
• Funding Round
• Investor Name
• Investment Date
• Funding Type (Equity, Debt, Grants, etc.)
• Sector Focus
• Deal Structure
• Investment Stage
• Contact Information

For detailed insights into funding activities and financial trends in Finland, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

Context

Mobile games are a huge market nowadays especially in China. Supervising customers' reviews is a main way to predict a game's commercial potential.

Content

Reviews of this dataset is from famous mobile game App TapTap. User comment below 3 stars(5 stars max) are treated as 0 (unsatisfied) and others 1 (satisfied) . The ratio of these two categories are about fifty to fifty.

Inspiration

This dataset is mainly for exploring application of Chinese NLP. For example, when a new game released, people will discussed about it on weibo, game forums, tieba and so on. An automated process of creating a specific model to recognize the tendency of players' discussion would be useful for decision making.

Interest-Income Time Series for Embracer Group AB (publ). Embracer Group AB (publ), together with its subsidiaries, develops and publishes PC, console, mobile, VR, and board games for the games market worldwide. The company operates through, PC/Console Games, Mobile Games, and Entertainment and Services. The company also publishes films and comic books, as well as engages in the trading of card games. It distributes games through retailers, physical stores, and digital distributors. The company was formerly known as THQ Nordic AB (publ) and changed its name to Embracer Group AB (publ) in October 2019. Embracer Group AB (publ) was founded in 1990 and is headquartered in Karlstad, Sweden.